From the 1 of 2 linked papers with an AI index.
2 papers
stat.AP2026
Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Lillian Rountree, Harsh Parikh, Bhramar Mukherjee
The paper shows how statisticians can turn the abstract ideas of data equity into concrete, testable methods, using racial bias in pulse oximeter measurements as a case study to tr…
stat.AP2025
Towards Enhancing Data Equity in Public Health Data Science
Yiran Wang, Alicia E. Boyd, Lillian Rountree +7
Data-driven decisions shape public health policies and practice, yet persistent disparities in data representation skew insights and undermine interventions. To address this, we ad…